Senior Growth Product Manager AI Native

<p style="min-height:1.5em"><strong>About Magic Eden and Dicey</strong><br />Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. We built a category-defining NFT marketplace from scratch and proved we know how to move fast. Now we're doing it again. Dicey is our crypto casino and sportsbook platform, targeting the $180B+ iGaming and sports betting markets.</p><p style="min-height:1.5em">We're a small, fully remote team. We ship fast, we're hands-on with our data, and we're rebuilding how a growth team operates around AI from the ground up.</p><p style="min-height:1.5em"><strong>The role</strong><br />Most of the iGaming industry competes on acquisition. Almost nobody has figured out personalized retention, knowing who a player is, what they need right now, and what would actually change their behavior this week. That's the problem you'll own.</p><p style="min-height:1.5em">This role focuses on the full post-signup journey: expanding our player segmentation framework, designing and running targeted offers and campaigns, and owning the P&amp;L lever that comes with it. It's explicitly AI-native. You'll build workflows, agents, and pipelines to run lifecycle campaigns that would have taken a whole team two years ago. Half the job is identifying the right problem. The other half is running the experiments to find the answer.</p><p style="min-height:1.5em"><strong>What you'll do</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Own retention and monetization as a growth loop. Set the targets, find the leverage, and drive the numbers for everything that happens after a player signs up</p></li><li><p style="min-height:1.5em">Own the player segmentation framework. Today it's value and risk. You decide how it evolves, what signals feed it, and how the rest of the company uses it</p></li><li><p style="min-height:1.5em">Build the AI-native growth stack. Analysis, agents, and automated pipelines that surface segments, generate offer candidates, and run campaigns with minimal manual work</p></li><li><p style="min-height:1.5em">Design and ship targeted offers for specific segments and moments: reload bonuses, lossback, wager bounties, challenges, win-back sequences. Size them, spec them, ship them, measure them</p></li><li><p style="min-height:1.5em">Spend real time in our data warehouse and on-chain data finding patterns and turn them into campaigns before anyone else does</p></li><li><p style="min-height:1.5em">Expand the signals we have on players: on-chain activity, status-match programs, social account linking, and whatever else you can think of</p></li><li><p style="min-height:1.5em">Run the campaigns. Email, in-app, Telegram, whatever the channel. You're hands-on with it, with AI doing the heavy lifting</p></li><li><p style="min-height:1.5em">Partner with engineering and design to ship the product surfaces that make all of this repeatable</p></li></ul><p style="min-height:1.5em"><strong>What we're looking for</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Strong intuition for player psychology and incentive design. Experience in gambling, gaming, fintech, or consumer marketplaces helps. Genuine curiosity about why people behave the way they do is required</p></li><li><p style="min-height:1.5em">Deeply analytical. You can go from a vague question to a clean cohort cut yourself, without waiting on a data scientist</p></li><li><p style="min-height:1.5em">AI-native by default. You already use AI to write queries, build analyses, and automate your own work and you want to push that much further</p></li><li><p style="min-height:1.5em">High output with good judgment. You generate a lot of ideas and know which ones are worth testing first</p></li><li><p style="min-height:1.5em">Bias to do it yourself. You're comfortable sending the email, running the query, and writing the spec, not just briefing others</p></li><li><p style="min-height:1.5em">Comfortable with ambiguity. There's no playbook here, you'll be building it</p></li></ul><p style="min-height:1.5em"><strong>Backgrounds that tend to fit</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Growth PM at a data-heavy consumer company</p></li><li><p style="min-height:1.5em">MBB consultant who wants to move into product and own outcomes, not just advise on them</p></li><li><p style="min-height:1.5em">Product Minded Data scientist or analyst who wants to ship, not just report</p></li></ul><p style="min-height:1.5em"><strong>Why this is interesting</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Competitive, top-of-market compensation</p></li><li><p style="min-height:1.5em">You're defining what a growth PM looks like in an AI-native company, there's no inherited playbook</p></li><li><p style="min-height:1.5em">Personalised retention is where the industry is going and we're building it early</p></li><li><p style="min-height:1.5em">Real ownership: a segmentation framework, a product surface, and a P&amp;L lever, with a direct line to the founding team</p></li></ul><br/><br/>Please mention the word **WINNERS** and tag RMmEwMTo0Zjg6MTQxOjQyMjk6OjI= when applying to show you read the job post completely (#RMmEwMTo0Zjg6MTQxOjQyMjk6OjI=). 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